{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>address</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>lastsolddate</th>\n",
       "      <th>lastsoldprice</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>usecode</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Address: 1160 Mission Street #2007</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>37.778705</td>\n",
       "      <td>-122.412635</td>\n",
       "      <td>South of Market</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>975,700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Address: 260 King Street #475</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>750000.0</td>\n",
       "      <td>37.777641</td>\n",
       "      <td>-122.393417</td>\n",
       "      <td>South of Market</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>975,700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Address: 560 Missouri Street #B</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1495000.0</td>\n",
       "      <td>37.759198</td>\n",
       "      <td>-122.396516</td>\n",
       "      <td>Potrero Hill</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1,277,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Address: 350 Missouri Street</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2231.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>2700000.0</td>\n",
       "      <td>37.761886</td>\n",
       "      <td>-122.396769</td>\n",
       "      <td>Potrero Hill</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>1,277,600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Address: 3658 Folsom Street</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1530000.0</td>\n",
       "      <td>37.740795</td>\n",
       "      <td>-122.413453</td>\n",
       "      <td>Bernal Heights</td>\n",
       "      <td>4.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1,248,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              address  bathrooms  bedrooms  finishedsqft  \\\n",
       "0  Address: 1160 Mission Street #2007        2.0       2.0        1043.0   \n",
       "1       Address: 260 King Street #475        1.0       1.0         903.0   \n",
       "2     Address: 560 Missouri Street #B        4.0       3.0        1425.0   \n",
       "3        Address: 350 Missouri Street        3.0       3.0        2231.0   \n",
       "4         Address: 3658 Folsom Street        3.0       3.0        1300.0   \n",
       "\n",
       "  lastsolddate  lastsoldprice   latitude   longitude     neighborhood  \\\n",
       "0   02/17/2016      1300000.0  37.778705 -122.412635  South of Market   \n",
       "1   02/17/2016       750000.0  37.777641 -122.393417  South of Market   \n",
       "2   02/17/2016      1495000.0  37.759198 -122.396516     Potrero Hill   \n",
       "3   02/17/2016      2700000.0  37.761886 -122.396769     Potrero Hill   \n",
       "4   02/17/2016      1530000.0  37.740795 -122.413453   Bernal Heights   \n",
       "\n",
       "   totalrooms       usecode  yearbuilt zindexvalue  \n",
       "0         4.0   Condominium     2007.0     975,700  \n",
       "1         3.0   Condominium     2004.0     975,700  \n",
       "2         6.0   Condominium     2003.0   1,277,600  \n",
       "3        10.0  SingleFamily     1927.0   1,277,600  \n",
       "4         4.0  SingleFamily     1900.0   1,248,000  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "sf = pd.read_csv('final_data.csv')\n",
    "sf.drop(sf.columns[[0, 2, 3, 15, 17, 18]], axis=1, inplace=True)\n",
    "sf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11330 entries, 0 to 11329\n",
      "Data columns (total 13 columns):\n",
      "address          11330 non-null object\n",
      "bathrooms        11330 non-null float64\n",
      "bedrooms         11330 non-null float64\n",
      "finishedsqft     11330 non-null float64\n",
      "lastsolddate     11330 non-null object\n",
      "lastsoldprice    11330 non-null float64\n",
      "latitude         11330 non-null float64\n",
      "longitude        11330 non-null float64\n",
      "neighborhood     11330 non-null object\n",
      "totalrooms       11330 non-null float64\n",
      "usecode          11330 non-null object\n",
      "yearbuilt        11330 non-null float64\n",
      "zindexvalue      11330 non-null object\n",
      "dtypes: float64(8), object(5)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "sf.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Susan\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    }
   ],
   "source": [
    "sf['zindexvalue'] = sf['zindexvalue'].str.replace(',', '')\n",
    "sf['zindexvalue'] = sf['zindexvalue'].convert_objects(convert_numeric=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('01/02/2013', '12/31/2015')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf.lastsolddate.min(), sf.lastsolddate.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "\n",
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       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>lastsoldprice</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11330.000000</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>1.133000e+04</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>11330.000000</td>\n",
       "      <td>1.133000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.980229</td>\n",
       "      <td>2.614475</td>\n",
       "      <td>1585.420918</td>\n",
       "      <td>1.263928e+06</td>\n",
       "      <td>37.759711</td>\n",
       "      <td>-122.436518</td>\n",
       "      <td>6.111562</td>\n",
       "      <td>1948.498147</td>\n",
       "      <td>1.320205e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.047358</td>\n",
       "      <td>1.299457</td>\n",
       "      <td>921.978245</td>\n",
       "      <td>1.042079e+06</td>\n",
       "      <td>0.025578</td>\n",
       "      <td>0.030743</td>\n",
       "      <td>12.125819</td>\n",
       "      <td>37.911196</td>\n",
       "      <td>5.848170e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.350000e+02</td>\n",
       "      <td>37.708170</td>\n",
       "      <td>-122.510726</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1860.000000</td>\n",
       "      <td>6.881000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1019.000000</td>\n",
       "      <td>7.292500e+05</td>\n",
       "      <td>37.739286</td>\n",
       "      <td>-122.455157</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1916.000000</td>\n",
       "      <td>9.829000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1362.000000</td>\n",
       "      <td>9.900000e+05</td>\n",
       "      <td>37.760513</td>\n",
       "      <td>-122.432510</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1940.000000</td>\n",
       "      <td>1.211900e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1876.000000</td>\n",
       "      <td>1.450000e+06</td>\n",
       "      <td>37.781386</td>\n",
       "      <td>-122.413359</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1986.000000</td>\n",
       "      <td>1.480400e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>27275.000000</td>\n",
       "      <td>2.388900e+07</td>\n",
       "      <td>37.806083</td>\n",
       "      <td>-122.381201</td>\n",
       "      <td>1264.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>5.333500e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          bathrooms      bedrooms  finishedsqft  lastsoldprice      latitude  \\\n",
       "count  11330.000000  11330.000000  11330.000000   1.133000e+04  11330.000000   \n",
       "mean       1.980229      2.614475   1585.420918   1.263928e+06     37.759711   \n",
       "std        1.047358      1.299457    921.978245   1.042079e+06      0.025578   \n",
       "min        0.500000      0.000000      1.000000   5.350000e+02     37.708170   \n",
       "25%        1.000000      2.000000   1019.000000   7.292500e+05     37.739286   \n",
       "50%        2.000000      2.000000   1362.000000   9.900000e+05     37.760513   \n",
       "75%        2.000000      3.000000   1876.000000   1.450000e+06     37.781386   \n",
       "max       14.000000     20.000000  27275.000000   2.388900e+07     37.806083   \n",
       "\n",
       "          longitude    totalrooms     yearbuilt   zindexvalue  \n",
       "count  11330.000000  11330.000000  11330.000000  1.133000e+04  \n",
       "mean    -122.436518      6.111562   1948.498147  1.320205e+06  \n",
       "std        0.030743     12.125819     37.911196  5.848170e+05  \n",
       "min     -122.510726      1.000000   1860.000000  6.881000e+05  \n",
       "25%     -122.455157      4.000000   1916.000000  9.829000e+05  \n",
       "50%     -122.432510      5.000000   1940.000000  1.211900e+06  \n",
       "75%     -122.413359      7.000000   1986.000000  1.480400e+06  \n",
       "max     -122.381201   1264.000000   2016.000000  5.333500e+06  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LkquAW2mu1nhxe7UFwIt4cHiP6/BqC0lak5GTTX259GHUU43HdcnB4Hq3HruH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\nsbFJkiRJkiRJffP/A/93nRXYgD9qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x274a53c61d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "sf.hist(bins=50, figsize=(20,15))\n",
    "plt.savefig(\"attribute_histogram_plots\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observations: \n",
    "\n",
    "1. These variables have very different scales. We will discuss this later in this chapter when we explore feature scaling.\n",
    "\n",
    "2. Many histograms are right skewed: they extend much farther to the right of the median than to the left. This may make it a bit harder for some Machine Learning algorithms to detect patterns. We will try transforming these attributes later on to have more bell-shaped distributions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kQpJzEWs/jiTJZpSFccpAycZxDUKVcGiuwR07Bl8XlsmaYC42fX73viM0vRhf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\nUXYd2kGGTX6VtsxWmKZBwTWZGa0yXfMxTYOjCy0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d4r8druf938AbA991uHlH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bEvWG7VyUpN5Gle3xqThB7dccnx+Rrb44KjMzGvbo4AR9BYDwPW+hmLrZDLe2OeXN3j3M7YwZgt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IQjFRsemOYnpDPUIw3FRXqycpbT8lTnJZBQtsyyCOE/p+jGcZ7G6UeTGKGEaKIMmIU92VT1CI\ngtWBj10tc/uuBidXBihMmmWL9iBc79Gh8on1JNPhkomaC0C9ZNMbxewbK+PaJscXB5xY7hMkOoyj\ns9L0PkrpOZVE6VRbC4iVIlXk1fMZnaHOXjs43cA0FI4lfPnoMg/ta3Fu1WffeIWVQUgQ6W5+O5sl\nzndCwiRjrGLh2QYqzWiVHVpll+mGg+eYvPngBBXHxE9SDk5WydBzT7Yh3LKjtq6AuxWstRCwnHwU\naRiEsa74b5YcXpjr8EePntL94wX2jWkH1yw5lG2LKE4xEZJ8zmqtja9pGHRGEcMoYmfd45lzq7TD\niCwD19KdMgex1uTybIv2KOHU6ojdTY8/fWwWUFiWwT9+x00cmR8QZRl3Y/D226Y4tKN6QVX+xTTK\nNj95707ecWiCKFGIwNHFAavDcH3EZZkG1ZLzunAgaxSOpOCaWYttj6KEv35qli+8MI9SOmzwj956\nE/fsaW3q+GupwUcX+wzCRBfRWSYTVZe+H2MaJv0wpeSYmElKkECQKqwkI0wUtm1iGRlhqggTQGUY\nptDzEyqu7odRcx1SFRKEWhxOAVVDMVEtszoMmB2EpHNdap5FlKQ0yy5BFBNlWvlXt5HV8fPxqs3N\n01Wm6y4oWOgHhHHKmdURSZLR9RMsFHGsZck7fopnG/SCDM8GWwTHgEGkCMMY17EZBjH1spYsCRNh\nruNzz64GWaad6LGFPt84tsx8z9fZZWlGxbboBea69IpZEaZqHqMoYXezxMGpGvWyhWUY1Ev2BQ22\ngGuWwL9aHNMgSFKOnx1gIAzCeL04NMsUnzk8R5Rk7GqVCeOUw7M99k+UccRgrhuw2A+ZaXhM1T16\nS0OiJKU90vM8z8/2yDLoBhFBmDEKMkR0hl+97BBGCZM1l4pjkmQQRWneZEvwbIsoiXlhXvHRR/Zd\noGjcGQacWR0xVXMYRDHHF0ccnCqzu1W74Hc7VvHWX49X3FftO71RFI6k4JpYi22HccajLy3wpSNL\nOIZBjGIYZvybz7/Ev/rg3exqVjb1PuNVl595YA9PQ4915wAAH9xJREFUn21Tc03+7tl5qo5BkuoU\nrtVBiGEYzDRLDMIM1wbLMFnqhTpLK1E4tk7+9RyDNFNUPAsLxWLXZxil+Btk0y30pL+fxARJhmMq\n+oGBH8eA0CoLd+5s8vS5LnGSd2s0tfJu2bHJFEzXS4RRxrm2zyhLCBPds8IzoerqO+BMgWlp9dwo\niTENwTH1JK+ntMMqOSauaVAr2TQrDrEKcQyddLDcjzm3OmJh4IMYxImeaM4UdNKERAUoFM2SQ5Cm\nKAMc2+Cu3Q3Gay77xirryr0XN3F61S92CjIUC92QHU2PsYrDbGfE+a7PZNXDEKi4NjXP1h0v44Tp\nvClZJ4hIRhE7ag6DMKPkGKyOYsZKWh9LAYv9KG/FrEDpFGHQIVPLMHAdCOKMqJeyu1nV8xmmyeml\nIcMoZVdL/4Y///wsf/CVYwQxdIcDhomFaQimKfzSu27lww/vu+THs0yDQRBxbjViqubQ3OBkXi8U\njqTgqtkY2xYFLywMiFN9oXaUYhjHVGODx06s8P57S5u+MI1XXe7b3eQb4RJVVzjfzbh5qgYq47n5\nDnGscnVVh+fmukRxRtmzmKq59P2Evh8SximOaZCZwq6Gy7GlEUqEONOZWqYh2JYQRhmjIMEHDFOL\n8fUDLWFycKLK/okaYZywt1VmZRCBCKYo9o6XqbgWb9w/wVRDp4TO9QLOd33iJNPZWLEizGKU0hlV\nrZKDYxtYhkGUpUxUSvSDkEbJ5W236P4m3zm5imsZNMsudc9itutjmwZ+ErPcjxiECUmqq/BdyyDN\ndKfBUZxQdU06o5hRBNONMm842OLePU0qjsWduxpEeeXilZpxbaZR1w8iSjM8y+QNe8fojCKiONPh\nx7xh2NBPGIYD6iWbhufgWQZvPzTJXDugUbI51/E5OFnh0ShhTFzOtIf0/ZggSukBpmngmELJ0Vlo\npmkQRSlRklF2TcJEUfMUQQRTdYdjiwO+e7bNzkaJOFOMopjDZ7tUXYfvzbb5H/78Gfz4+yrEQsLN\nkxXiLOF3v3iEt946dsHIZI1vHlngk4+eWi9A/Pjbb+bhgy+rbHhNUziSgqtmLbbteiaDIMYxDcTQ\nRXRl28QPEhzLpGzb10WgLkkznjzT5uzKiGGcsTQICJOUA5NV7pppcXShh59kEETcPFnBFIOpmsNX\njy8ziGIwDN6wt4brWJxeGnCuE2jpdUNfWOJM5/OWxMJywTAt4ihCDEuPCiwhVcLN0zXu2tmk60c8\nfGCMKM04tTwkVRlG3qe8E0S0yjZJluHZBvfsavDkqTZxmtKPUmxl6OLGDNIso1Vy8UyDOFNUSzaG\nKKYbHnNdnyRVWKbgmsIgjLAtkzfuH8MwhNmOLnAzDcGPEoK8SltXv0OUAJ5O+1Uowjjhpx7YyS1T\ndUZRwgvzvfVMqZ0NjxPLQwy0/tYtU1WUAsfSKcMvzvdfUVbV1RBECT0/JlWK9ijkzKrPmfYI0xAO\nTlV4+vQqlmUw1/U51w6oOiY/+9BeHrlpnGOVIWLAzVNVjsz3SZXCNhRVx6I71IkPQZIRhymGAVXX\npO45jKKMxMhoVWzu3zfGQlf3Fbl5qsJkpUw8LpxrDznb1llXbz04Qavq8vipFT712ElGsVZHWMso\nV8DZ9oi6ZxNlGccXR+uO5Fy7z/HFEd1RxP/+hZeYabiUXYdzyyN++7OH+aNffNPramRSOJKCq8Yx\nDUxT90KveTbTTY8gTpnt6jkBzzb48Tt3UC1Z16WIbRQlHJ3v0w0SbttRJ0wylgch/SBlR9Mm6Iz4\n5uKIvVV43wMHdI3B8pB9Y2VQivlOgG3p0MZYxaHtR3oUkKTYluAZJmmakZGhMuGRAy1Org6JYj1Z\nmild3zFd94jTjCBOuWmywt276jxzusPzc11WRzF7JkqoDB4/tULZMfHDhFGQQB7uEwwsy6BqaTGu\nfhCzONApoZMNl/3jFRqew+kVfVFfGYV4tkm1ZDJZd+n7KS/N9yk7FgKM13STqyAXf1qL0I3yLLWh\nn9KqWFRdEzEMvvDcAjveXOKl830MU6i6FvPdEX/zzCwHJ2tUHAtDMv788dOYhoFlCOM1l0NTVfwk\nY6LiXFIGfeOIBa48x3J6ecDnnp8nTjLiVDGKEjzLoFXW6gXfPL7E8+d6TNc8DkxWaQ9D5jojji32\n+PSTuoDSFJ3BV/csDk038KOEfqgz06LUWO/GKAoqecGhmDFV1+HAZI2yY7GzWSKIE8YqDq4j7B+v\nkKa6ULRWcrhrdxNDhKWe7pGDQut3bSDNFMMwAgx2jWnH8B++cZRPfO0Uy71o/W9yYiW8YL9f+4+H\n+YOff+iaz4ntRuFICq4ay9TCfV94/jynV0fcPFZhR92j5ycs9X3edGCCfROV6yrulyhFliqaZZd7\nd7U4ttRn33iJP/7W2fVtzgzg//zqCf6X991ON0youTZznREzzTIzLY+deQ/xetmmZJuc7fiE+dxC\nq+pgGSZjFYdbdtTwU0V3FFL1HMbLNm0/4szqgMfbIc2qQ5opBn7CZMOlVnYYRinznUCLOw71pPF0\n3eNcZ4QhUPNM6mKTKYUfp4AiThRxlHJ24LM4CDm1POR9d+3Kq/CFyaqHYxo8daaNNT+kUbJ55MAE\nzYrN119a4MjCiChO1qu019CZZ1oixjG0PEecKaJU8YXvLbDSD7FMg/P9kFEYszIMuW1HAz9M+Ozz\n58kyxZ5WGbds8JXvzfNnj8dYlmAbBu+/dxdv2NtaD4ed74x4cb4PgB9nWKZg5y17H9g7xvRF9SdB\nlPC55+epuhaVms3R+S5feWkRN0+xrpcsdrfKRGmGGIJr5pPhiU5qaI8iXT8EpKlivhcw0/S4faaB\nZRgsdgOGcULNsxiFiW5d7Bj87EO7ERTPnOliWgajIKXsmIxXXJplm5PLPmLAjobHdF1/77Ntn+fn\nOpxZGRFnWhzUv0icLcl0+vgjB1o0Sy7n2n0+8bVTGCol5fL8/fcWeebsCvfteX2EuApHUnBN/Mm3\njvGHXz9NkiksQ/hv3nEzP//m/XimgZH3Hr9eTqTsWByaqvGN48ssDXwc0+S+vU2+9NSxS27/f/+n\nF/i5d99K309o5BXDfphwetVnZRhRcU3aw5iSadAqW9yzq8V41eF8z2dHvUTNs2mWbLJMcctUhcVh\niGUYnFkesbNV5o6ZOgDfPL7M++6bwTYEw9RZR/N9n7JtUfVsUqV7rd+7t8WJlQFL3YggTqnl0iT7\nJyucaweUHIMwUVQc+Nxzczy4b4xVP2bYi1jsh5gioKAzjHn69CoP7R/DcywUKZnoIkuV17WsORGF\nHqGsjCI9X1T1OLY4YL4X4NoGrmFhmoruKMLE4MhCH1RKnGbYhsGqH3G+m3B81afumkxVy4yimL96\n5hz/5SO7iRKXR48t8dWXlonTFNPQiQxBklCyTDAU/99z83z8R27h0EydJM/uWxlEBFHKdK1E1w95\n/HSbpUFI2TZJMt3Gtu/H7BkvszQIiJOU0ysD+kHKc3M9DEPL1ojAVM0jTDJWBjEvzHWZqns0qg69\nMME0hR0ND8MQBIOxssNbb5niLTdP8bfPzpEmGaZl8JE37uXbx1fxdlp0RwkTNYckzYizjCBOaI9i\nbtvRYDpvIfDCnHaatgmTFRsRgwf2Njk006TqWDw/q4srxTCAdP1vsRHXFMJU8djx1cKRFPzwcni2\nzSe+chJRCtuyyFTK73/lKD9+zxQT4/Xr/n6WaXDnzgYvzPc5tTIkTSNESjy7euntz8bw7eMrnFod\nMgwyGmWTg5M1LFMxClNWej5hqu+gU6XoHV9i30SFiYrL+V7ATZMVHjk4TpZmvDjfoztMaFVszncC\nZtujvBWwzdnVEU+fblN2bUqWyXIvZBSktEouUzWXU8sDuqMUx0wYL7n4QcLesRKDMGVlqNNXV4cR\ntiko9IWpHyYcXexxfHHIME5JU/AcYbzikmWKc92A3ouLBGFMlCosgVbVYaEfrTuPqmOw1l1BRDBE\nTzhXHd3kq1WyeexUm2bJ5tTqkLGSw4mVIULGwNfyKp5j6jmXVFf+R3GKZ1uEScqZlYA48zm7qvua\nLPYDhmGWp9om2JZBybaxLfhf/+55/rt338pCP+TF8z2SJNMCi4aw1AsZhQlZphgFCVGW5fIhCaah\nRwurg4AwUYxVHUqWQTfQI6iaazOKE2xT6I9iVoYRqVLsaZQYK9sMgxRDtGLAHTM1Hjk4TqNs0yjb\nfOxtB9Zb/WZAexRT82wM0dljy/1wvajUtgxaZRfbEn7lPYf45tElvjfboxeldEcxB6cq3DRd5333\n7sRzLA5OlTFNQZQej1zsREzIFZjh4YNj1/1cuVEUjqTgqkjSjM8/t0CcKEwT4lgH6JVSPHGyzf4t\ncCRJmnGmM+LePQ1dI3C+y4mlITeX4Jh/6X1OrQyZqHqMVRQL3YAnT68SRAl+pMUYPVNolF2iJMEQ\ngyDOqHsWUaZ4ab5Pq+wwVfNYGkRMN7QC8fOzXYKh1tpa7AbESmEZer6i5Fj81P07+fQTsyz2A1aG\nIUGcsm+izI6ax9eOLBOnGXvHHWaawunvDRmFMamCJFEYwImlEWVHaA9NxBBMtD5YnCjawwjT0L1Z\nyrZJIgaOaZKkGcMopWzrC36S6jmdimOxu6Wzj/a2SojAykA7m1MrA522rKBVshlFCWNlrUhcK1ms\nDLT4YJSkJIAfpaxKSKNs49omO1oux84PMUXo+lFe6Z8RRmneN0YwzRTPsEGEf/v1E5Qdk2GUEieK\nvh9xvjtCRKfiroXCkgQyM8MxtKLyZLXE+P4W353tEaUpZ5Z9SraFHyWYhuh+MY5J1w8oORbNkk2t\npVOHpxpgZMKuVpnbdzaobyj+29jqN0kzHNtABBxLV9dXHAuVtzFwTJNhFGOagmeZvO3QNB//kZtp\njxJMS+EY+n3Xjre7VeOX3nUrv/vFI9hGSnyRmv1auOtDD+563YxGoHAkBVdJlGbUPZtUgUryavFU\ndwschinJFrQRjdKMMM6Y6wZ4tkmaQsk2+ZE33MSxR0++bPuHb2qRZRll22Ks4rDQ9emMEjxbsGxF\nHMMwVZTdDAwDQU/eznZD9rTKhImi7Fp0Aq0wu9QL6I5iHNtkdtXHNIWqa3NgooJrC3fvatAZxTw7\n1+fePS2WhgHtQcjJlSFJDE+f7SIiHNpR55apKseWBjRLFj0/wZSMRGnVXkO0KGCmFJ5t4VgmPT/W\nUvKiqJYcpm2TWMHdU1WePdcB2yDLFFXXJVOCaSjiVFfYT9Z0EsT+iRpz3SEzLYeSpR1xnGasDEPG\nKi6mEXNoR50zK0NmOz5lx6LqWSz3Qzyl8KMMP84IeiG//pN3sLdZ5exKQKoUzbLN6igiCNM8nIcO\nd4pgWzr9dnUQErg2UzWPhX6AGAa7Wx4TFZdaqc/hcz2CUYaYOpEjUbo6/9bpGq5tcmrFp+S4mGIQ\nxSn1kg4/rY5CMgUzrRK7m2Xu3NVgFKXsnyjjWQamqfWu1ppJXYq1+b7Dcx2GeUjs3ryQ9vBch7GK\nzZn2iL2tCnGm1rPWflB51Icf3sdbbx3j+OKINMs4vTLiwZtapJkOZz18cOx15USgcCQFV4ljGkw3\nXPaPlzi94hMmmZYwmShTLzlb0o96LRsoiPTdYpIpPEdLuv/GP7iTf/e55zkVwW4b/qsfu42XFvqc\nXh0RK8UoSQhihWkIrmVColNA0wyCJGW84iD5nX4NxUzTY64TUPccun7E7laZuU6AIsUSYabpccdM\nHc82cXMF30QpUqVrRSaaZVoVG79V5nwvYM+YR9WzWBqGDKNYX2yzjGrJYU8TZrsBrgUYJiVL8HMp\n4ijVApATNZckTam7NhN1FwOh7cdUPJO7djVZGgYEYcpk3eWtByeJlOLJk6uESUrZNfnP7tjB/fua\nPHW6zbOzXUxTmKh5VGwThUJE0QuEim3h2RYV26JRdjBz1eKGZ3HPrjLjVQc/TnnTwYkL2uCeWBoy\n03CxTR1Cm6y4zPZGpAoshJunahye7WCZQkqGysAQwTZNHtg3znw3YM9YmaSh6PoRjmkyVnV5cH+L\nibrH7Tvq+HHKt4+vYhpCrWTzyMExyq7FKEo4tTSkPYo5OFFDKe2EJ+seD+8fI8t/O1f6PTbKNm+6\nafxl2WZry9baEVzNvN/uVu2SNSWvNweyRuFICq4KyzR444Fx7tnTxLMMYqXYUXOYaVVolramZ8VG\nqZR+GDNedXRtRJIRJin/84ce4M0HxnjsVJuqa7JvvMpnDs9ybHFAkprMtDzmuwEGBlXPxDJTVJYx\nXnEYqziMVV12NkqUXAvbFPa2ygRJgmMb7GxUObM64qaJCnGSMdsLMPLqdVAESUqWKh7cP8bZts8w\niqk4NnEaM151qXo2K8OEsbJLmOgOkDubWlb89MqAc70AxKBRsrl1qsrxpSG7Wh5nV3yGeVrsTTtq\nvOu2HTQrDs/PdXns5DKdka7uvn2mpquvmyVqnqMVZkWYrLu8/ZZJxqpa++ts22evH+HaJjNNj5NL\nQxolB8sQmuWEzihm71gJxxR6QYxlmtRLFq2Sy0TNpVW1GYbputz5xja4L5zvMQxTjiz2MRAORTUW\n+gG7myXqJYf33DnDs3NduiMtOlkrWRwYr9Ks2Lzzjmm+/tISnmOACGGsR1/NkrN+9//+e3fxI4cm\niRJF1THXkzkAlgYhT59pc3J5yChKODhd4b7drR+oh3W539ilRBhfr5Im1xu5TMvz1xUPPvigeuKJ\nJ260Ga8rTi4N+PQTZ5jtBDimwZsPTvDO26evS7Ha5VgZhDx9to0fZpxbHTHddJmouNy7p0WjrMUb\nD891SFNFlil2NDzKrsGz53o8fnyFrx9bwg8TXMfkH96/h/feN4PnGJQti7Jj0R7FHFnsMwyS9XBG\n1TUZRAl1z6bq2qwOIp473+H2HXUc2+DWqdq6lPjZlRF/99wccZJhGgYzDY+dzRKjMOX4Up8gTjm0\no8Yb9ulJ1idPtzmy0OfRo0s0y46+aN6zk2GYMIxTsjTjtl11xisuRxcHepJWYLLqcnp1AErH7aMs\nw7VMzq36+HFCqhQ/88AexnMnAtAdxXz75DLHF4YoUdw0UeH+vS1aJV00mmQZlmHgxynfOrrMiZUh\nnWHMieUBzbJD1bMu2xJ2rY7EgPVqeQMI0oyqYxEmikePL/Hi+R5BkuFZBrftqFMv29y9s8nqMOQz\nh8+TphmOZfKu26c4OFl9xRfxtYww0Bl+xcX/+iEiTyqlHrzidoUjKbhWgiihE0Q4hvGq9fLeeNG6\nVLjhUnIe3VHMd8+2WR4GjMKMh/Y3OThVv6S9lzr+MEzXHZRpCrfvqFNyzEuGOoIoWc8IChO1vh/C\nBU5n43tFsS6mW5MUv9RnuHjZxtdr9kVxRobi/j2tC5zIxs/2Si64G7fLsuwC266Vjcd0TONlf7uN\n39vVjiYKto7CkWygcCQFm9WLutb9t0qn6ka9T8EPF6/UkRSuv+CHgs3Gu691/1crzl7E8wtuJMUv\nr6CgoKBgUxSOpKCgoKBgUxSOpKCgoKBgUxSOpKCgoKBgUxSOpKCgoKBgU2yZIxERT0QeF5Hvisjz\nIvIv8uV/JiLP5I9TIvLMJfY9tGGbZ0SkJyL/fb5uTEQ+LyJH8/9bW/UZCgoKCgquzFam/4bAO5VS\nAxGxgW+IyOeUUh9a20BEfgfoXryjUuol4L58GxOYBf4qX/1rwBeVUr8lIr+Wv/7VLfwcBQUFBQU/\ngC0bkSjNIH9p54/16kcREeBngU9d4VDvAo4rpU7nr/8B8Mf58z8GPnDdjC4oKCgouGq2dI5ERMw8\ndLUIfF4p9diG1W8DFpRSR69wmA9zobOZVkqdz5/PA9OXee+PicgTIvLE0tLSNX6CgoKCgoIrsaWO\nRCmVKqXuA3YDbxSRuzas/ghXGI2IiAO8H/j0ZY6veHkTsrV1n1RKPaiUenBycvKa7C8oKCgouDKv\nStaWUqoDfBl4D4CIWMAHgT+7wq4/ATyllFrYsGxBRGby48ygRzsFBQUFBTeIrczamhSRZv68BPwY\n8GK++t3Ai0qpc1c4zKVGLX8D/EL+/BeAv74+FhcUFBQUXAtbOSKZAb4sIs8C30HPkXwmX3fxvAci\nslNEPrvhdQXtfP7youP+FvBjInIU7ZB+a4vsLygoKCh4BWxZ+q9S6lng/sus++glls0B793wegi8\nrC+lUmoFnclVUFBQULANKCrbCwoKCgo2ReFICgoKCgo2ReFICgoKCgo2ReFICgoKCgo2ReFICgoK\nCgo2ReFICgoKCgo2ReFICgoKCgo2ReFICgoKCgo2hWjdw9c3IrIEnL7ihjABLG+xOdeD14qd8Nqx\n9bViJxS2bgWvFTvh1bV1n1Lqiqq3PxSO5JUiIk8opR680XZcideKnfDasfW1YicUtm4FrxU7YXva\nWoS2CgoKCgo2ReFICgoKCgo2ReFILuSTN9qAV8hrxU547dj6WrETClu3gteKnbANbS3mSAoKCgoK\nNkUxIikoKCgo2BSvS0ciIj8jIs+LSCYiD25Y/mMi8qSIHM7/f2e+vCwifyciL+b7XbJZlojsFxFf\nRJ7JH39wNftvB1vzdQ/kxz0mIr8nInKj7NxwnL0iMhCRX9mw7CP5cZ8Vkb8XkYkr2XkDbXVE5JMi\nciQ/zk9vRzs3rPsbEXnuSjbeKFu34zl1OVvzZdvmnBKRN8r3z/vvishPbVh3TefUFVFKve4ewO3A\nIeArwIMblt8P7Myf3wXM5s/LwI/mzx3g68BPXOK4+4HnLrH8Fe2/HWzN1z0OvAkQ4HOvxNatsnPD\ncf4C+DTwK/lrC1gEJvLX/xvw6zfyO72crfmyfwH8Zv7cWLN7u9mZL/8g8P9c7vexHWy92v1v9PfK\nNjqn8u2s/PkM+jyy2MQ5daXHlnVIvJEopV4AuPimQCn19IaXzwMlEXGVUiPgy/k2kYg8Bey+ive7\n5v1fbVtFZAaoK6W+nb/+98AH0D/+G2KniHwAOAkMNy7OHxURWQHqwLFX8hlvgK0Avwjclh8j4xUU\njN0IO0WkCvwy8DHgz69k442ydbueU5eydbudU/l2a3jA2kT4NZ9TV+J1Gdp6hfw08JRSKty4UESa\nwE8CX7zMfjflQ8avisjbLl75Cva/0bbuAs5t2OZcvuyG2Jlf2H4VfUe/jlIqBj4OHAbmgDuAf3ed\n7Lyutub7APyGiDwlIp8WkentZueajcDvAKNLrNss19vWK+6/TWzdVudUvv5hEXkeff78E6VUspXn\n1Gt2RCIiXwB2XGLVP1NK/fUV9r0T+G3gxy9abgGfAn5PKXXiErueB/YqpVZE5AHg/xWRO5VSvR+0\n/3ay9QrvdSPs/HXgd5VSg413ZiJio3/09wMngP8D+J+A39xutqLPo93AN5VSvywivwz8G+DntpOd\nInIfcFAp9Usisv8S77dtbL3S/tvR1su8142wE6XUY8CdInI78Mci8jkg5QecU5viesTHtuuDi2KP\n+bLdwBHgLZfY/o/yP841Hf9q978RtqJjpi9uWP4R4A9vlJ3oOO+p/NEBVoH/FngI+OKG7d4OfPZG\nfqc/wFZBhzqMfLs9wPPb0M6Po+9ET6HvmiPgK9vxO73W3/kN+l631Tl1ie2/hD73N31OXfY9rsdB\ntuvj4j8Q0AS+C3zwEtv+JvAf1y4GlzneJGDmzw8As8DYK91/G9l68cTge2+UnRdt/+t8f7J1J3pU\nNZm//g3gd27kd3o5W/PXfwq8M3/+UeDT29HODcv3cxWT7TfoO91W59QVbN025xRwE9+fbN+HvnmY\nuB7n1GXf83ocZLs9gJ9C33GFwALwn/Ll/xx95/jMhscU2vsr4IUNy/9Rvs/7gX+ZP/9p9OTXM8BT\nwE/myy+7/3azNV/3IPAccBz4BHlh6o2w8won5z/J938W+Ftg/EZ+p1ewdR/wtdzWL6LDitvOzg3L\n93N1WVuvqq0/aP/tZut2O6eAn+PCc/8Dmz2nrvQoKtsLCgoKCjbFD3PWVkFBQUHBdaBwJAUFBQUF\nm6JwJAUFBQUFm6JwJAUFBQUFm6JwJAUFBQUFm6JwJAUFrwARGWzBMd8vIr+WP/+AiNxxDcf4imxQ\nji0ouBEUjqSg4AahlPobpdSaFPgH0NpHBQWvOQpHUlBwFYjmX4vIc6L7OnwoX/4j+ejgL0T3i/gT\nyQWZROS9+bInRfeq+Ey+/KMi8gkReTO6oOxf5yKbBzeONERkQkRO5c9LIvKnIvKCiPwVUNpg24+L\nyLc2CEdWX91vp+CHldesaGNBwQ3ig8B9wL1o2YnviMjX8nX3A3eiJSkeBd4iIk8Afwi8XSl1UkQ+\ndfEBlVLfFJG/AT6jlPoLeLm0+AY+DoyUUreLyD3oymVENyj658C7lVJDEflVtFz8v7weH7qg4AdR\nOJKCgqvjrcCnlFIpsCAiX0WL4fWAx5VS5wBE5Bm0DMkAOKGUOpnv/yl0L5Br5e3A7wEopZ4VkWfz\n5W9Ch8YezZ2QA3xrE+9TUPCKKRxJQcH1Y2PPiJTNnV8J3w89e69gewE+r5T6yCbes6DgmijmSAoK\nro6vAx8SEVNEJtEjhMd/wPYvAQc29P/40GW26wO1Da9PAQ/kz//hhuVfA/4LABG5C7gnX/5tdCjt\n5nxdRURufQWfp6Bg0xSOpKDg6vgrtHLqd9F9Hv6pUmr+chsrpXzgvwb+XkSeRDuM7iU2/VPgfxSR\np0XkILox1sdF5Gn0XMwa/xdQFZEX0PMfT+bvs4SWr/9UHu76Fnnr34KCraZQ/y0o2GJEpKp0Vz0B\nfh84qpT63RttV0HB9aIYkRQUbD3/OJ98fx5ooLO4CgpeNxQjkoKCgoKCTVGMSAoKCgoKNkXhSAoK\nCgoKNkXhSAoKCgoKNkXhSAoKCgoKNkXhSAoKCgoKNkXhSAoKCgoKNsX/D1+oMvJNeIiaAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x274ab749c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sf.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.2)\n",
    "plt.savefig('map1.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Hxx+v4Pt1hIBczmLHjnGuu66bSy4pcMstC0xP15md9YgixXnnreELX7gCUEgp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0horaSEiOnpJvF4k0xGI5dLMDCQ5LLLXji8Ox43+Pznt/PpTz/J9HQTy9IYGkojhE5bW4ye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97XJoyOXAQY35fAehUKnNBszO+VhRg3/8LPztX0E2C6mUzhe+0McHPjDK44/btLW5LFsG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\nGsWizcUXd3DZZV0AFAo2f/3XZzhxosTISBlZlojHDcpll2PHFli7dj1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KFT4iEQW/320m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1fn3e8eolrt4Z57RnAci3XrolxySReW5dHdHeG9712LrttUqzYnTtT40Y/mmZyssnt3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x274ac11c470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sf.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4, figsize=(10,7),\n",
    "    c=\"lastsoldprice\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "    sharex=False)\n",
    "plt.savefig('map2.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let’s look at how much each independent variable correlates with the last sold price."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lastsoldprice    1.000000\n",
       "finishedsqft     0.647208\n",
       "bathrooms        0.536880\n",
       "zindexvalue      0.460429\n",
       "bedrooms         0.395478\n",
       "latitude         0.283107\n",
       "totalrooms       0.093527\n",
       "longitude       -0.052595\n",
       "yearbuilt       -0.189055\n",
       "Name: lastsoldprice, dtype: float64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = sf.corr()\n",
    "corr_matrix[\"lastsoldprice\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last sold price tends to go up when the finished sqft and number of bathrooms go up. You can see a small negative correlation between the year built and the last sold price. Finally, coefficients close to zero mean that there is no linear correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Susan\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:4: FutureWarning: 'pandas.tools.plotting.scatter_matrix' is deprecated, import 'pandas.plotting.scatter_matrix' instead.\n"
     ]
    },
    {
     "data": {
      "image/png": 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ASALT1rx8epqOiB9QnJrM0BLysb41xPrWpetK940kKJZt+qcyJPLl86rMCFGrQ6POAkID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g7vzPE0KIu6WUmVMV1uPUef9VTZiWJJrK0j+e4ol9Q2e4y1MJ7HaVRRXqhdjqhhIW15Qwlsyy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\nGIZhGIZh+Bwz2g3DMAzDMAzD5/x/SN14T0a5Cr0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x274ac11f1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.tools.plotting import scatter_matrix\n",
    "\n",
    "attributes = [\"lastsoldprice\", \"finishedsqft\", \"bathrooms\", \"zindexvalue\"]\n",
    "scatter_matrix(sf[attributes], figsize=(12, 8))\n",
    "plt.savefig('matrix.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most promising variable to predict the sold price is the zestimate, so let’s zoom in on their correlation scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c0zARG7lszMJkR+okhqt9CpVzywFUmzuo4vmUPZ++XJmBQpk9JzLEow6+wqaO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\ngoIxxpgqCwrGGGOq/n+3zet4essNEAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x274ab8cd630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sf.plot(kind=\"scatter\", x=\"finishedsqft\", y=\"lastsoldprice\", alpha=0.5)\n",
    "plt.savefig('scatter.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, the correlation is indeed very strong; you can clearly see the upward trend and the points are not too dispersed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because each neighborhood has the different home price, what we really want is the price per squre foot. So, we add a new variable \"price_per_sqft\". "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sf['price_per_sqft'] = sf['lastsoldprice']/sf['finishedsqft']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lastsoldprice     1.000000\n",
       "finishedsqft      0.647208\n",
       "bathrooms         0.536880\n",
       "zindexvalue       0.460429\n",
       "bedrooms          0.395478\n",
       "latitude          0.283107\n",
       "totalrooms        0.093527\n",
       "price_per_sqft    0.005008\n",
       "longitude        -0.052595\n",
       "yearbuilt        -0.189055\n",
       "Name: lastsoldprice, dtype: float64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = sf.corr()\n",
    "corr_matrix[\"lastsoldprice\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unfortunately, the new price_per_sqft variable has only a very smalll positive correlation with the last sold price. But we still need this varaible for grouping neighborhood."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also there are 71 neighborhoods in the data, we are going to group them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "71"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sf['neighborhood'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "freq = sf.groupby('neighborhood').count()['address']\n",
    "#mean_price: average price per sqft\n",
    "mean = sf.groupby('neighborhood').mean()['price_per_sqft']\n",
    "cluster = pd.concat([freq, mean], axis=1)\n",
    "cluster['neighborhood'] = cluster.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cluster.columns = ['freq', 'price_per_sqft','neighborhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq</th>\n",
       "      <th>price_per_sqft</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>71.000000</td>\n",
       "      <td>71.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>159.577465</td>\n",
       "      <td>1664.908308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>126.572696</td>\n",
       "      <td>3619.277749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>374.201197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>67.500000</td>\n",
       "      <td>613.337664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>123.000000</td>\n",
       "      <td>756.246284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>210.500000</td>\n",
       "      <td>985.156646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>540.000000</td>\n",
       "      <td>26914.471572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             freq  price_per_sqft\n",
       "count   71.000000       71.000000\n",
       "mean   159.577465     1664.908308\n",
       "std    126.572696     3619.277749\n",
       "min      3.000000      374.201197\n",
       "25%     67.500000      613.337664\n",
       "50%    123.000000      756.246284\n",
       "75%    210.500000      985.156646\n",
       "max    540.000000    26914.471572"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster the neighborhood into three groups: 1. low price, 2. high price low frequency, 3. high price high frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bayview', 'Central Richmond', 'Central Sunset', 'Crocker Amazon',\n",
       "       'Daly City', 'Diamond Heights', 'Excelsior', 'Forest Hill',\n",
       "       'Forest Hill Extension', 'Golden Gate Heights', 'Ingleside',\n",
       "       'Ingleside Heights', 'Ingleside Terrace', 'Inner Parkside',\n",
       "       'Inner Richmond', 'Inner Sunset', 'Lakeshore', 'Little Hollywood',\n",
       "       'Merced Heights', 'Mission Terrace', 'Mount Davidson Manor',\n",
       "       'Oceanview', 'Outer Mission', 'Outer Parkside', 'Outer Richmond',\n",
       "       'Outer Sunset', 'Parkside', 'Portola', 'Silver Terrace', 'Sunnyside',\n",
       "       'Visitacion Valley', 'West Portal', 'Western Addition',\n",
       "       'Westwood Highlands', 'Westwood Park'],\n",
       "      dtype='object', name='neighborhood')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster1 = cluster[cluster.price_per_sqft < 756]\n",
    "cluster1.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Buena Vista Park', 'Central Waterfront - Dogpatch', 'Corona Heights',\n",
       "       'Haight-Ashbury', 'Lakeside', 'Lone Mountain', 'Midtown Terrace',\n",
       "       'North Beach', 'North Waterfront', 'Parnassus - Ashbury',\n",
       "       'Presidio Heights', 'Sea Cliff', 'St. Francis Wood', 'Telegraph Hill',\n",
       "       'Twin Peaks'],\n",
       "      dtype='object', name='neighborhood')"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_temp = cluster[cluster.price_per_sqft >= 756]\n",
    "cluster2 = cluster_temp[cluster_temp.freq <123]\n",
    "cluster2.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bernal Heights', 'Cow Hollow', 'Downtown',\n",
       "       'Eureka Valley - Dolores Heights - Castro', 'Glen Park', 'Hayes Valley',\n",
       "       'Lake', 'Lower Pacific Heights', 'Marina', 'Miraloma Park', 'Mission',\n",
       "       'Nob Hill', 'Noe Valley', 'North Panhandle', 'Pacific Heights',\n",
       "       'Potrero Hill', 'Russian Hill', 'South Beach', 'South of Market',\n",
       "       'Van Ness - Civic Center', 'Yerba Buena'],\n",
       "      dtype='object', name='neighborhood')"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster3 = cluster_temp[cluster_temp.freq >=123]\n",
    "cluster3.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add group column based on the clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_group(x):\n",
    "    if x in cluster1.index:\n",
    "        return 'low_price'\n",
    "    elif x in cluster2.index:\n",
    "        return 'high_price_low_freq'\n",
    "    else:\n",
    "        return 'high_price_high_freq'\n",
    "sf['group'] = sf.neighborhood.apply(get_group)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's preprocess the categorical input feature, usecode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>address</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>lastsolddate</th>\n",
       "      <th>lastsoldprice</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>neighborhood</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>usecode</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "      <th>price_per_sqft</th>\n",
       "      <th>group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Address: 1160 Mission Street #2007</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>37.778705</td>\n",
       "      <td>-122.412635</td>\n",
       "      <td>South of Market</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>1246.404602</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Address: 260 King Street #475</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>750000.0</td>\n",
       "      <td>37.777641</td>\n",
       "      <td>-122.393417</td>\n",
       "      <td>South of Market</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>830.564784</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Address: 560 Missouri Street #B</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1495000.0</td>\n",
       "      <td>37.759198</td>\n",
       "      <td>-122.396516</td>\n",
       "      <td>Potrero Hill</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>1049.122807</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Address: 350 Missouri Street</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2231.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>2700000.0</td>\n",
       "      <td>37.761886</td>\n",
       "      <td>-122.396769</td>\n",
       "      <td>Potrero Hill</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>1210.219632</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Address: 3658 Folsom Street</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>02/17/2016</td>\n",
       "      <td>1530000.0</td>\n",
       "      <td>37.740795</td>\n",
       "      <td>-122.413453</td>\n",
       "      <td>Bernal Heights</td>\n",
       "      <td>4.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1248000</td>\n",
       "      <td>1176.923077</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              address  bathrooms  bedrooms  finishedsqft  \\\n",
       "0  Address: 1160 Mission Street #2007        2.0       2.0        1043.0   \n",
       "1       Address: 260 King Street #475        1.0       1.0         903.0   \n",
       "2     Address: 560 Missouri Street #B        4.0       3.0        1425.0   \n",
       "3        Address: 350 Missouri Street        3.0       3.0        2231.0   \n",
       "4         Address: 3658 Folsom Street        3.0       3.0        1300.0   \n",
       "\n",
       "  lastsolddate  lastsoldprice   latitude   longitude     neighborhood  \\\n",
       "0   02/17/2016      1300000.0  37.778705 -122.412635  South of Market   \n",
       "1   02/17/2016       750000.0  37.777641 -122.393417  South of Market   \n",
       "2   02/17/2016      1495000.0  37.759198 -122.396516     Potrero Hill   \n",
       "3   02/17/2016      2700000.0  37.761886 -122.396769     Potrero Hill   \n",
       "4   02/17/2016      1530000.0  37.740795 -122.413453   Bernal Heights   \n",
       "\n",
       "   totalrooms       usecode  yearbuilt  zindexvalue  price_per_sqft  \\\n",
       "0         4.0   Condominium     2007.0       975700     1246.404602   \n",
       "1         3.0   Condominium     2004.0       975700      830.564784   \n",
       "2         6.0   Condominium     2003.0      1277600     1049.122807   \n",
       "3        10.0  SingleFamily     1927.0      1277600     1210.219632   \n",
       "4         4.0  SingleFamily     1900.0      1248000     1176.923077   \n",
       "\n",
       "                  group  \n",
       "0  high_price_high_freq  \n",
       "1  high_price_high_freq  \n",
       "2  high_price_high_freq  \n",
       "3  high_price_high_freq  \n",
       "4  high_price_high_freq  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>lastsoldprice</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>usecode</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "      <th>group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>750000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>1495000.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2231.0</td>\n",
       "      <td>2700000.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>1530000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1248000</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bathrooms  bedrooms  finishedsqft  lastsoldprice  totalrooms       usecode  \\\n",
       "0        2.0       2.0        1043.0      1300000.0         4.0   Condominium   \n",
       "1        1.0       1.0         903.0       750000.0         3.0   Condominium   \n",
       "2        4.0       3.0        1425.0      1495000.0         6.0   Condominium   \n",
       "3        3.0       3.0        2231.0      2700000.0        10.0  SingleFamily   \n",
       "4        3.0       3.0        1300.0      1530000.0         4.0  SingleFamily   \n",
       "\n",
       "   yearbuilt  zindexvalue                 group  \n",
       "0     2007.0       975700  high_price_high_freq  \n",
       "1     2004.0       975700  high_price_high_freq  \n",
       "2     2003.0      1277600  high_price_high_freq  \n",
       "3     1927.0      1277600  high_price_high_freq  \n",
       "4     1900.0      1248000  high_price_high_freq  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf.drop(sf.columns[[0, 4, 6, 7, 8, 13]], axis=1, inplace=True)\n",
    "sf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>usecode</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "      <th>group</th>\n",
       "      <th>lastsoldprice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "      <td>1300000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "      <td>750000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Condominium</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "      <td>1495000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2231.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "      <td>2700000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>SingleFamily</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1248000</td>\n",
       "      <td>high_price_high_freq</td>\n",
       "      <td>1530000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bathrooms  bedrooms  finishedsqft  totalrooms       usecode  yearbuilt  \\\n",
       "0        2.0       2.0        1043.0         4.0   Condominium     2007.0   \n",
       "1        1.0       1.0         903.0         3.0   Condominium     2004.0   \n",
       "2        4.0       3.0        1425.0         6.0   Condominium     2003.0   \n",
       "3        3.0       3.0        2231.0        10.0  SingleFamily     1927.0   \n",
       "4        3.0       3.0        1300.0         4.0  SingleFamily     1900.0   \n",
       "\n",
       "   zindexvalue                 group  lastsoldprice  \n",
       "0       975700  high_price_high_freq      1300000.0  \n",
       "1       975700  high_price_high_freq       750000.0  \n",
       "2      1277600  high_price_high_freq      1495000.0  \n",
       "3      1277600  high_price_high_freq      2700000.0  \n",
       "4      1248000  high_price_high_freq      1530000.0  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf = sf[['bathrooms', 'bedrooms', 'finishedsqft', 'totalrooms', 'usecode', 'yearbuilt', \n",
    "         'zindexvalue', 'group', 'lastsoldprice']]\n",
    "sf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create dummy variables for two categorical variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = sf[['bathrooms', 'bedrooms', 'finishedsqft', 'totalrooms', 'usecode', 'yearbuilt', \n",
    "         'zindexvalue', 'group']]\n",
    "Y = sf['lastsoldprice']\n",
    "#create dummy variables for groups\n",
    "n = pd.get_dummies(sf.group)\n",
    "X = pd.concat([X, n], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "m = pd.get_dummies(sf.usecode)\n",
    "X = pd.concat([X, m], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "drops = ['group', 'usecode']\n",
    "X.drop(drops, inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>finishedsqft</th>\n",
       "      <th>totalrooms</th>\n",
       "      <th>yearbuilt</th>\n",
       "      <th>zindexvalue</th>\n",
       "      <th>high_price_high_freq</th>\n",
       "      <th>high_price_low_freq</th>\n",
       "      <th>low_price</th>\n",
       "      <th>Apartment</th>\n",
       "      <th>Condominium</th>\n",
       "      <th>Cooperative</th>\n",
       "      <th>Duplex</th>\n",
       "      <th>Miscellaneous</th>\n",
       "      <th>Mobile</th>\n",
       "      <th>MultiFamily2To4</th>\n",
       "      <th>MultiFamily5Plus</th>\n",
       "      <th>SingleFamily</th>\n",
       "      <th>Townhouse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>903.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>975700</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2231.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>1277600</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1248000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bathrooms  bedrooms  finishedsqft  totalrooms  yearbuilt  zindexvalue  \\\n",
       "0        2.0       2.0        1043.0         4.0     2007.0       975700   \n",
       "1        1.0       1.0         903.0         3.0     2004.0       975700   \n",
       "2        4.0       3.0        1425.0         6.0     2003.0      1277600   \n",
       "3        3.0       3.0        2231.0        10.0     1927.0      1277600   \n",
       "4        3.0       3.0        1300.0         4.0     1900.0      1248000   \n",
       "\n",
       "   high_price_high_freq  high_price_low_freq  low_price  Apartment  \\\n",
       "0                     1                    0          0          0   \n",
       "1                     1                    0          0          0   \n",
       "2                     1                    0          0          0   \n",
       "3                     1                    0          0          0   \n",
       "4                     1                    0          0          0   \n",
       "\n",
       "   Condominium  Cooperative  Duplex  Miscellaneous  Mobile  MultiFamily2To4  \\\n",
       "0            1            0       0              0       0                0   \n",
       "1            1            0       0              0       0                0   \n",
       "2            1            0       0              0       0                0   \n",
       "3            0            0       0              0       0                0   \n",
       "4            0            0       0              0       0                0   \n",
       "\n",
       "   MultiFamily5Plus  SingleFamily  Townhouse  \n",
       "0                 0             0          0  \n",
       "1                 0             0          0  \n",
       "2                 0             0          0  \n",
       "3                 0             1          0  \n",
       "4                 0             1          0  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11330,)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Standardization of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "X = scaler.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cross_validation import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "regressor = LinearRegression()\n",
    "regressor.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Done! We now have a working Linear Regression model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Liner Regression R squared: 0.5619\n"
     ]
    }
   ],
   "source": [
    "y_pred = regressor.predict(X_test)\n",
    "print('Liner Regression R squared: %.4f' % regressor.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, in our model, 56.19% of the variability in Y can be explained using X. It is not so exciting."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate root-mean-square error (RMSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Liner Regression RMSE: 616071.5748\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.metrics import mean_squared_error\n",
    "lin_mse = mean_squared_error(y_pred, y_test)\n",
    "lin_rmse = np.sqrt(lin_mse)\n",
    "print('Liner Regression RMSE: %.4f' % lin_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our model was able to predict the value of every house in the test set within $616071 of the real price."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate mean absolute error (MAE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Liner Regression MAE: 363742.1631\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "lin_mae = mean_absolute_error(y_pred, y_test)\n",
    "print('Liner Regression MAE: %.4f' % lin_mae)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "let’s try a more complex model to see whether results can be improved - the RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_split=1e-07, min_samples_leaf=1,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           n_estimators=10, n_jobs=1, oob_score=False, random_state=42,\n",
       "           verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "forest_reg = RandomForestRegressor(random_state=42)\n",
    "forest_reg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest R squared\": 0.6491\n"
     ]
    }
   ],
   "source": [
    "print('Random Forest R squared\": %.4f' % forest_reg.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest RMSE: 551406.0926\n"
     ]
    }
   ],
   "source": [
    "y_pred = forest_reg.predict(X_test)\n",
    "forest_mse = mean_squared_error(y_pred, y_test)\n",
    "forest_rmse = np.sqrt(forest_mse)\n",
    "print('Random Forest RMSE: %.4f' % forest_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Much better! Let's try one more."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,\n",
       "             learning_rate=0.1, loss='ls', max_depth=3, max_features=None,\n",
       "             max_leaf_nodes=None, min_impurity_split=1e-07,\n",
       "             min_samples_leaf=1, min_samples_split=2,\n",
       "             min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "             presort='auto', random_state=None, subsample=1.0, verbose=0,\n",
       "             warm_start=False)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import ensemble\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "model = ensemble.GradientBoostingRegressor()\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient Boosting R squared\": 0.6616\n"
     ]
    }
   ],
   "source": [
    "print('Gradient Boosting R squared\": %.4f' % model.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient Boosting RMSE: 541503.7962\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "model_mse = mean_squared_error(y_pred, y_test)\n",
    "model_rmse = np.sqrt(model_mse)\n",
    "print('Gradient Boosting RMSE: %.4f' % model_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I would consider this is our final model, let's print out feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apartment-0.00%\n",
      "MultiFamily5Plus-0.00%\n",
      "Mobile-0.00%\n",
      "Miscellaneous-0.00%\n",
      "Cooperative-0.00%\n",
      "Townhouse-0.00%\n",
      "Condominium-0.54%\n",
      "high_price_low_freq-0.69%\n",
      "Duplex-1.21%\n",
      "MultiFamily2To4-1.68%\n",
      "high_price_high_freq-3.15%\n",
      "bedrooms-3.17%\n",
      "low_price-3.57%\n",
      "SingleFamily-4.12%\n",
      "yearbuilt-8.84%\n",
      "totalrooms-9.13%\n",
      "bathrooms-14.92%\n",
      "zindexvalue-16.03%\n",
      "finishedsqft-32.94%\n"
     ]
    }
   ],
   "source": [
    "feature_labels = np.array(['bathrooms', 'bedrooms', 'finishedsqft', 'totalrooms', 'yearbuilt', 'zindexvalue', \n",
    "                           'high_price_high_freq', 'high_price_low_freq', 'low_price', 'Apartment', 'Condominium', 'Cooperative', \n",
    "                          'Duplex', 'Miscellaneous', 'Mobile', 'MultiFamily2To4', 'MultiFamily5Plus', 'SingleFamily', \n",
    "                           'Townhouse'])\n",
    "importance = model.feature_importances_\n",
    "feature_indexes_by_importance = importance.argsort()\n",
    "for index in feature_indexes_by_importance:\n",
    "    print('{}-{:.2f}%'.format(feature_labels[index], (importance[index] *100.0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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